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Evaluating language understanding accuracy with respect to objective outcomes in a dialogue system.

, , , and . EACL, page 471-481. The Association for Computer Linguistics, (2012)

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TFLEX: Speeding Up Deep Parsing with Strategic Pruning., and . IWPT, page 194-195. Association for Computational Linguistics, (2005)The Beetle and BeeDiff tutoring systems., , , , , and . SLaTE, page 92-95. Carnegie Mellon University / ISCA, (2007)Human - Robot Interaction: Engagement between Humans and Robots for Hosting Activities., and . ICMI, page 123-128. IEEE Computer Society, (2002)Linking Semantic and Knowledge Representations in a Multi-Domain Dialogue System., , and . J. Log. Comput., 18 (3): 405-430 (2008)The joint student response analysis and recognizing textual entailment challenge: making sense of student responses in educational applications., , and . Language Resources and Evaluation, 50 (1): 67-93 (2016)Beetle-Grow: An Effective Intelligent Tutoring System for Data Collection., , and . L@S, page 177-180. ACM, (2016)Adaptive Tutorial Dialogue Systems Using Deep NLP Techniques., , , , , and . HLT-NAACL (Demonstrations), page 5-6. The Association for Computational Linguistics, (2007)Tools for hierarchical annotation of typed dialogue., , and . NLPXML@EACL, Association for Computational Linguistics, (2006)Chester: Towards a personal medication advisor., , , , , , , and . (2006)SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge., , , , , , , , and . SemEval@NAACL-HLT, page 263-274. The Association for Computer Linguistics, (2013)